globalchange  > 气候变化事实与影响
DOI: 10.1016/j.atmosenv.2014.02.023
Scopus记录号: 2-s2.0-84896127335
论文题名:
Using mobile monitoring to characterize roadway and aircraft contributions to ultrafine particle concentrations near a mid-sized airport
作者: Hsu H; -H; , Adamkiewicz G; , Houseman E; A; , Spengler J; D; , Levy J; I
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 89
起始页码: 688
结束页码: 695
语种: 英语
英文关键词: Air quality ; Aircraft ; Ground measurements ; Regression ; Source attribution ; Ultrafine particulate matter
Scopus关键词: Air quality ; Aircraft ; Regression analysis ; Autoregressive integrated moving average models ; Ground measurements ; International airport ; Regression ; Source attribution ; Spatial and temporal heterogeneity ; Spatial and temporal patterns ; Ultra-fine particulate matters ; Airports ; air quality ; aircraft emission ; airport ; anthropogenic source ; atmospheric pollution ; concentration (composition) ; GPS ; ground-based measurement ; heterogeneity ; monitoring system ; numerical model ; particle size ; pollution monitoring ; regression analysis ; residential location ; spatiotemporal analysis ; traffic emission ; air monitoring ; air quality ; aircraft ; airport ; article ; geographic information system ; mobile phone ; monitoring ; neighborhood ; particle size ; particulate matter ; priority journal ; spring ; summer ; ultrafine particle ; Rhode Island ; United States ; Warwick [Rhode Island]
Scopus学科分类: Environmental Science: Water Science and Technology ; Earth and Planetary Sciences: Earth-Surface Processes ; Environmental Science: Environmental Chemistry
英文摘要: Ultrafine particles (UFP) have complex spatial and temporal patterns that can be difficult to characterize, especially in areas with multiple source types. In this study, we utilized mobile monitoring and statistical modeling techniques to determine the contributions of both roadways and aircraft to spatial and temporal patterns of UFP in the communities surrounding an airport. A mobile monitoring campaign was conducted in five residential areas surrounding T.F. Green International Airport (Warwick, RI, USA) for one week in both spring and summer of 2008. Monitoring equipment and geographical positioning system (GPS) instruments were carried following scripted walking routes created to provide broad spatial coverage while recognizing the complexities of simultaneous spatial and temporal heterogeneity. Autoregressive integrated moving average models (ARIMA) were used to predict UFP concentrations as a function of distance from roadway, landing and take-off (LTO) activity, and meteorology. We found that distance to the nearest Class 2 roadway (highways and connector roads) was inversely associated with UFP concentrations in all neighborhoods. Departures and arrivals on a major runway had a significant influence on UFP concentrations in a neighborhood proximate to the end of the runway, with a limited influence elsewhere. Spatial patterns of regression model residuals indicate that spatial heterogeneity was partially explained by traffic and LTO terms, but with evidence that other factors may be contributing to elevated UFP close to the airport grounds.Regression model estimates indicate that mean traffic contributions exceed mean LTO contributions, but LTO activity can dominate the contribution during some minutes. Our combination of monitoring and statistical modeling techniques demonstrated contributions from major surrounding runways and LTO activity to UFP concentrations near a mid-sized airport, providing a methodology for source attribution within a community with multiple distinct sources. © 2014 Elsevier Ltd.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81061
Appears in Collections:气候变化事实与影响

Files in This Item:

There are no files associated with this item.


作者单位: Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, Center for Advanced Medicine, 17 East 102 St., New York, NY 10029, United States; Department of Environmental Health, Harvard School of Public Health, Landmark Center 4th Floor West, 401 Park Drive, Boston, MA 02215, United States; College of Public Health and Human Sciences, Oregon State University, 314B Milam Hall, Corvallis, OR 97331, United States; Department of Environmental Health, Boston University School of Public Health, 715 Albany St. T4W, Boston, MA 02118, United States

Recommended Citation:
Hsu H,-H,, Adamkiewicz G,et al. Using mobile monitoring to characterize roadway and aircraft contributions to ultrafine particle concentrations near a mid-sized airport[J]. Atmospheric Environment,2014-01-01,89
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Hsu H]'s Articles
[-H]'s Articles
[, Adamkiewicz G]'s Articles
百度学术
Similar articles in Baidu Scholar
[Hsu H]'s Articles
[-H]'s Articles
[, Adamkiewicz G]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Hsu H]‘s Articles
[-H]‘s Articles
[, Adamkiewicz G]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.